Development of an artificial neural network model for prediction of bubble point pressure of crude oils
Bubble point pressure is one of the most important pressure–volume–temperature properties of crude oil, and it plays an important role in reservoir and production engineering calculations. It can be precisely determined experimentally. Although, experimental methods present valid and reliable result...
Main Authors: | Aref Hashemi Fath, Abdolrasoul Pouranfard, Pouyan Foroughizadeh |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2018-09-01
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Series: | Petroleum |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405656117301062 |
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